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Research Article Open access CC BY 4.0

Estimation of Soil Nitrogen, Phosphorous and Potassium Using IoT Based Sensor

Surendra Kuman Chandniha, Harshit Chouskey, S.K. Khunte, Muskan Sharma, Harithalekshmi V.

Journal of Experimental Agriculture International · pp. 557–564 · Published 2 Aug 2024

10.9734/jeai/2024/v46i82735

Abstract

This study developed a sensor system to measure soil Nitrogen (N), Phosphorus (P), and Potassium (K) levels. Using an Arduino-based setup, the sensors were installed at different soil locations to provide real time nutrient data. The collected data was analyzed to determine nutrient levels, and the results were visualized using ArcGIS and the IDW method. The analysis showed significant variability in soil nutrient levels. Nitrogen levels were low in many locations, indicating a need for nitrogen fertilization. Phosphorus levels were mostly high, suggesting that additional phosphorus fertilization is not needed in most areas. Potassium levels were low in some locations, indicating the need for potassium fertilization in several locations. These findings helped to understand of nutrient dynamics in agricultural soils and underscore the role of IoT technology in precision agriculture for improving nutrient management strategies.

NPK sensor IoT IDW

Cited by 2

A Review on Detection of Nutrients of Soil Using NPK and Moisture Sensors

Shravani, Shetty Diya Nithyananda, Raghavendra M O · International Journal of Advanced Research in Science, Communication and Technology · 2024

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